HEURISTIC MALWARE DETECTION
Embodiments of the present invention provide a method, system and computer program product for the heuristic malware detection. In one embodiment of the invention, a heuristic malware detection method can include merging a baseline inventory of file attributes for respective files from each client c...
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creator | PIAZZA WILLIAM J HARPER RICHARD E BRADICICH THOMAS M |
description | Embodiments of the present invention provide a method, system and computer program product for the heuristic malware detection. In one embodiment of the invention, a heuristic malware detection method can include merging a baseline inventory of file attributes for respective files from each client computing system in a community of client computing systems into a merged inventory. The method further can include receiving an updated inventory of file attributes in a current inventory survey from different ones of the client computing systems. Each received survey can be compared to the merged inventory, and in response to the comparison, a deviant pattern of file attribute changes can be detected in at least one survey for a corresponding client computing system. Thereafter, the deviant pattern can be classified as one of a benign event or a malware attack. Finally, malware removal can be requested in the corresponding client computing system if the deviant pattern is classified as a malware attack. |
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In one embodiment of the invention, a heuristic malware detection method can include merging a baseline inventory of file attributes for respective files from each client computing system in a community of client computing systems into a merged inventory. The method further can include receiving an updated inventory of file attributes in a current inventory survey from different ones of the client computing systems. Each received survey can be compared to the merged inventory, and in response to the comparison, a deviant pattern of file attribute changes can be detected in at least one survey for a corresponding client computing system. Thereafter, the deviant pattern can be classified as one of a benign event or a malware attack. Finally, malware removal can be requested in the corresponding client computing system if the deviant pattern is classified as a malware attack.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2008</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20080612&DB=EPODOC&CC=US&NR=2008141371A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20080612&DB=EPODOC&CC=US&NR=2008141371A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>PIAZZA WILLIAM J</creatorcontrib><creatorcontrib>HARPER RICHARD E</creatorcontrib><creatorcontrib>BRADICICH THOMAS M</creatorcontrib><title>HEURISTIC MALWARE DETECTION</title><description>Embodiments of the present invention provide a method, system and computer program product for the heuristic malware detection. In one embodiment of the invention, a heuristic malware detection method can include merging a baseline inventory of file attributes for respective files from each client computing system in a community of client computing systems into a merged inventory. The method further can include receiving an updated inventory of file attributes in a current inventory survey from different ones of the client computing systems. Each received survey can be compared to the merged inventory, and in response to the comparison, a deviant pattern of file attribute changes can be detected in at least one survey for a corresponding client computing system. Thereafter, the deviant pattern can be classified as one of a benign event or a malware attack. 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In one embodiment of the invention, a heuristic malware detection method can include merging a baseline inventory of file attributes for respective files from each client computing system in a community of client computing systems into a merged inventory. The method further can include receiving an updated inventory of file attributes in a current inventory survey from different ones of the client computing systems. Each received survey can be compared to the merged inventory, and in response to the comparison, a deviant pattern of file attribute changes can be detected in at least one survey for a corresponding client computing system. Thereafter, the deviant pattern can be classified as one of a benign event or a malware attack. Finally, malware removal can be requested in the corresponding client computing system if the deviant pattern is classified as a malware attack.</abstract><oa>free_for_read</oa></addata></record> |
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language | eng |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | HEURISTIC MALWARE DETECTION |
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